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The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
The TRI-POL project explores the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition. In this project there are two complementary groups of datasets with individual-level survey data and digital trace data co...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293990/ https://www.ncbi.nlm.nih.gov/pubmed/37383761 http://dx.doi.org/10.1016/j.dib.2023.109219 |
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author | Torcal, Mariano Carty, Emily Comellas, Josep Maria Bosch, Oriol J. Thomson, Zoe Serani, Danilo |
author_facet | Torcal, Mariano Carty, Emily Comellas, Josep Maria Bosch, Oriol J. Thomson, Zoe Serani, Danilo |
author_sort | Torcal, Mariano |
collection | PubMed |
description | The TRI-POL project explores the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition. In this project there are two complementary groups of datasets with individual-level survey data and digital trace data collected in five countries: Argentina, Chile, Italy, Portugal and Spain. These datasets are comprised of three waves carried out over a six-month period between late September 2021 and April 2022. In addition, the survey datasets include a series of experiments embedded in the different waves that examine social exposure, polarisation framing, and social sorting. The digital trace datasets include variables on individuals’ behaviours and exposure to information received via digital media and social media. This data was collected using a combination of tracking technologies that the interviewees installed in their different devices. This digital trace data is matched with the individual-level survey data. These datasets are especially useful for researchers who wish to explore dynamics of polarisation, political attitudes, and political communication. |
format | Online Article Text |
id | pubmed-10293990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102939902023-06-28 The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022) Torcal, Mariano Carty, Emily Comellas, Josep Maria Bosch, Oriol J. Thomson, Zoe Serani, Danilo Data Brief Data Article The TRI-POL project explores the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition. In this project there are two complementary groups of datasets with individual-level survey data and digital trace data collected in five countries: Argentina, Chile, Italy, Portugal and Spain. These datasets are comprised of three waves carried out over a six-month period between late September 2021 and April 2022. In addition, the survey datasets include a series of experiments embedded in the different waves that examine social exposure, polarisation framing, and social sorting. The digital trace datasets include variables on individuals’ behaviours and exposure to information received via digital media and social media. This data was collected using a combination of tracking technologies that the interviewees installed in their different devices. This digital trace data is matched with the individual-level survey data. These datasets are especially useful for researchers who wish to explore dynamics of polarisation, political attitudes, and political communication. Elsevier 2023-05-09 /pmc/articles/PMC10293990/ /pubmed/37383761 http://dx.doi.org/10.1016/j.dib.2023.109219 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Torcal, Mariano Carty, Emily Comellas, Josep Maria Bosch, Oriol J. Thomson, Zoe Serani, Danilo The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022) |
title | The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022) |
title_full | The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022) |
title_fullStr | The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022) |
title_full_unstemmed | The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022) |
title_short | The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022) |
title_sort | dynamics of political and affective polarisation: datasets for spain, portugal, italy, argentina, and chile (2019-2022) |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293990/ https://www.ncbi.nlm.nih.gov/pubmed/37383761 http://dx.doi.org/10.1016/j.dib.2023.109219 |
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